Faculty of Technical Sciences

Subject: Geoinformation technologies and systems (17.Z410A)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Professional-applicative
Scientific or art field Geoinformatika
Interdisciplinary No
ECTS 6
Educational goal:

Students gain fundamental and applied knowledge in the field of geospatial technologies.

Educational outcome:

The acquired knowledge is used in practical courses, forming and solving engineering problems.

Course content:

Place and role of geoinformation technologies. Basic terms and terminology. Acquisition of spatial data (GNSS, photogrammetry, remote sensing), GNSS – technology bases and applications. Data acquisition using GNSS technology. Photogrammetry - technology bases and applications. Data acquisition based on photogrammetry. Remote sensing - technology bases and applications. Data acquisition based on remote sensing. Data classification and segmentation. Interpretation and presentation of spatial data. Visualization. Technology bases and applications of visualization. Application of geoinformation technologies in various fields. Interaction with GIS systems.

Teaching methods:

Teaching methods include lectures, computer practice, consultations , independent work on obligatory assignments. Evaluation: guided and independently developed obligatory assignments and a seminar paper; final examination is oral.

Literature:
Authors Title Year Publisher Language
Jones, C.B. Geographical Information Systems and Computer Cartography 1997 Longman, Singapore English
Govedarica Miro Geoinformacione tehnologije i sistemi - odabrana poglavlja 2005 Skripta, interno izdanje FTN Serbian language
Mather, P.M. Computer Procesding of Remotly-Sensed Images: An Introduction 2004 John Wiley&Sons, Chippenham English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Homework Yes Yes 5.00
Computer exercise attendance Yes Yes 5.00
Homework Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Homework Yes Yes 5.00
Homework Yes Yes 5.00
Term paper Yes Yes 20.00
Lecturers:

vanr. prof. dr Radulović Aleksandra

Associate Professor

Lectures
API Image

doc. dr Mejić Luka

Assistant Professor

Computational classes

Faculty of Technical Sciences

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